Khushbu Shah

Los Angeles

Contributing Editor at Food & Wine

cookbook Amrikan OUT JUNE 4// newsletter: Tap Is Fine now: contributing editor @foodandwine was: restaurant editor

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Articles

How to Crack Any SQL Interview for Data Engineering in 2025?

1 week ago | medium.com | Khushbu Shah

ProjectPro helps data professionals build job-ready skills through end-to-end solved projects in AI, Data Science, Machine Learning, and Data Engineering designed by industry experts. Learn by doing and accelerate your career with real-world hands-on experience. Follow publicationEven in 2025, with AI copilots generating dashboards and real-time systems running on autopilot, SQL is still at the heart of data engineering.
How to Build Robust Data Pipelines That Never Fail?

2 weeks ago | medium.com | Khushbu Shah

A great data pipeline isn’t just about moving data from one place to another; it’s about creating a system that’s reliable, easy to understand, and built to last. Real-time or batch, every pipeline is built to serve one purpose: getting reliable data into the hands of those who need it. But here’s the thing: data pipelines that inspire confidence don’t happen by accident.
The ONLY AI Data Engineering Roadmap You Need in 2025

3 weeks ago | medium.com | Khushbu Shah

You open your laptop on a regular workday. There’s a new request, build a data pipeline that syncs customer data, runs validation, and delivers analytics-ready tables. Normally, you’d start sketching out the DAG, writing boilerplate code, testing transformations, and tuning partitions. But not today. Today, you write a short prompt in Windsurf, and it generates the entire DAG for you. Meanwhile, Cursor has already written the SQL transformations, which are complete with tests and docstrings.
How I’d Build an AI Project Stack in 2025 (If I Were Starting Over)

3 weeks ago | medium.com | Khushbu Shah

ProjectPro helps data professionals build job-ready skills through end-to-end solved projects in AI, Data Science, Machine Learning, and Data Engineering designed by industry experts. Learn by doing and accelerate your career with real-world hands-on experience. Follow publicationIf you’re building AI projects in 2025, you’ve probably realized by now, just knowing how to call an LLM API isn’t enough. A flood of AI tools, libraries, and frameworks promise to “10x” your development.
Is Is RAG Dead With 10M Context Windows?

3 weeks ago | medium.com | Khushbu Shah

“RAG is dead.” That’s the hot take bouncing around the AI community right now, especially with all the buzz around models boasting 10 million token context windows. But let me stop you right there: this thinking is dangerously wrong. Yes, we now have models that can handle enormous amounts of text at once. Yes, 10M token context windows are impressive. But no, this doesn’t mean you should start dumping your entire knowledge base into every query and call it innovation.
25 Types of RAG - Which One Fits Your Project Best?

1 month ago | medium.com | Khushbu Shah

“What if your AI could pull the perfect answer from the world’s knowledge every single time?”Retrieval-augmented generation (RAG) is the quiet revolution behind today's best-performing AI systems. ChatGPT’s ability to cite sources and enterprise AI’s scanning of thousands of documents highlight the need for grounding language models in reality, a role fulfilled by Retrieval-Augmented Generation (RAG). But here’s the catch: RAG isn’t one-size-fits-all.
How to Build Your Own AI Agent ?

1 month ago | medium.com | Khushbu Shah

Have you ever wondered how AI agents can go from simple chatbots to complex collaborators managing entire workflows? All thanks to rapid advances in reasoning, multimodal capabilities, and tool integration, Large Language Models (LLMs) are evolving beyond single-task tools. Today, they can act as agents — autonomous systems that don’t just assist but take over tasks, coordinate actions, and make real-time decisions.
How Sesame’s AI Speech Model Delivers Human-Like Conversations in Real Time

1 month ago | medium.com | Khushbu Shah

If you’ve ever used a voice assistant like Siri, Alexa, or Google Assistant, you’ve already witnessed the magic of conversational AI. But have you ever wondered how these systems understand and respond like a human? That’s where models like Sesame’s Conversational Speech Model (CSM) come into play. In this blog, we’ll break down what Sesame’s CSM is, how it works, what makes it stand out, and how you can use it to build your own speech-based AI applications.
A Mouthwatering Guide to the Most Delicious-Smelling Perfumes

2 months ago | eater.com | Khushbu Shah

They say the eyes eat first, but before we even see what we are eating, we often enjoy its aroma. The scent of a beloved dish, such as the gooey chocolate chip cookies your mom would pull out of the oven after school or the malty almond granita you had for breakfast while on vacation in Sicily, can evoke feelings of pleasure, happiness, and nostalgia. So it’s no surprise that gourmand perfumes and fragrances inspired by the edible world have skyrocketed in popularity.
Single Agent vs Multi Agent in AI: What Your AI Project Hinges On

2 months ago | medium.com | Khushbu Shah

Khushbu Shah·FollowPublished inProjectPro·7 min read·--80% of AI projects fail — not because of bad models but because of bad architecture. Before you build and train an AI model, deploy an AI agent, or ship an AI application, there is one question that will shape everything: Single Agent vs Multi Agent in AI. This isn’t just a technical choice. It’s a strategic fork determining whether your AI project will scale or stall.